Information Systems Management

Information systems impact virtually every industry, field and activity, creating a growing demand for the next generation of IT leaders. In the place where IT and people meet, prepare yourself to communicate more effectively, ask the right strategic questions and solve IT-driven problems. MISM Quick Facts: — full-time, on campus only — 10 courses — Application deadline for Spring 2025 is October 1

The Master of Information Systems Management (MISM) from the Sever Institute at the McKelvey School of Engineering at Washington University in St. Louis is designed to help you advance with the knowledge, leadership and skills needed to understand, shape and lead as organizations increasingly expand their operations to digital platforms.

In this full time, traditional graduate program you will learn theories combined with real-world applications, strengthening your management acumen, collaborative problem solving, interpersonal communication and leadership competencies.

The MISM qualifies as a STEM program.

Curriculum

Note: Applications for Fall 2024 is now closed. Enrollment for Spring 2025 begins April 1.

The 30-unit (10-course) MISM degree program is available for full time study only.

MISM courses are designed with input from employers, thought leaders and practitioners, and taught by leading professionals from throughout the information systems industry.

Students learn managerial and technical acumen required to lead an IT enterprise, including governance, IT architecture and infrastructure, service delivery, data management strategy, risk management, and cybersecurity fundamentals.

Gain advanced knowledge, elevate your critical thinking and improve your ability to ask the right strategic and operational questions. As important, build a lifelong network of working professionals and become a proud member of the Washington University alumni community.

*These courses are required to earn a Graduate Certificate in Information Systems Management.

 

Registration, Tuition Fees & Payment Policies

Qualified veterans: WashU McKelvey School of Engineering and the VA will cover 100 percent of your graduate tuition.

Although certificate programs do not qualify for federal loan programs, loans are still available for the master's degrees. For more information, contact Cindy Fields (mckelveygradfinancialaid@wustl.edu).

Program Checklists & Course Information

Each of our graduate programs has a unique mix of required coursework and additional electives. Courses are updated regularly to ensure our students are prepared for the latest in industry knowledge and application. Check out the Information Systems Management program checklist for both master's and graduate certificate requirements. 

All course information, including course descriptions and section listings, can be found in our digital catalog the Bulletin

Meet our faculty

Saeed Akbani Senior It executive with extensive experience in business intelligence, technology solutions, business-IT strategy alignment and application services

Saeed Akbani

  • Program Director, Graduate Studies in Information Systems Management
Tom Britt CIO at Magellan Health. Senior IT executive with 20+ years management experience building innovative digital products and solutions utilizing web, mobile, and cloud technologies.

Tom Britt

  • Adjunct Instructor
Mark Brooks Executive Vice President and Chief Information Officer of a Global Fortune 50 Healthcare Enterprise

Mark Brooks

  • Adjunct Instructor
Jerry Fox Senior Vice President, Chief Information and Digital Officer at BJC HealthCare

Jerry Fox

  • Adjunct Instructor
Shanti Greene Executive Principal at Daugherty. Data Science, Data Engineering, and Innovation Leader.

Shanti Greene

  • Adjunct Instructor
Jason Hampton SVP, IT Services at Maritz. Strong interest in "Creative Production."

Jason Hampton

  • Adjunct Instructor
Jeff Heaton Vice President, Data Scientist, Reinsurance Group of America (RGA), Senior Member of IEEE, and author of several books on machine learning and artificial intelligence.

Jeff Heaton

  • Adjunct Instructor
Rick Herman Executive Director of End-User Services for Information Technology Services at Washington University in St. Louis

Rick Herman

  • Adjunct Instructor
Feng Hou Leading advocate for blockchain adoption in education. Strategic forward-thinking and process-driven IT executive who uses ITIL Framework, Lean Six Sigma and Agile project management to ensure IT operation success with very high services availability, security, and user satisfaction.

Feng Hou

  • Adjunct Instructor
Josh Jaffe Experienced information security professional, currently responsible for security in Dell’s Customer, Marketing, Sales, and other internal functions.

Josh Jaffe

  • Adjunct Instructor
Christopher Lehmuth VP of Technology at TurningPoint Healthcare Solutions, leads data engineering and advanced analytics teams t0 deliver scalable, reliable, and secure solutions to transform healthcare delivery and outcomes.

Christopher Lehmuth

  • Adjunct Instructor
Faisal Malik Regional advisory leader specializing in managing large-scale digital transformation and data warehousing projects across various industries.

Faisal Malik

  • Adjunct Instructor
Larry McLean The United States Transportation Command Subject Matter Expert for ITIL approach to IT Service Management

Larry McLean

  • Adjunct Instructor
Karl Mudra Technology Executive, CIO, CISO. Founder Ktech63 LLC. Seasoned technology executive with 30+ years of leadership and expertise in IT systems, SaaS, cloud, risk management, communications and security in the healthcare industry.

Karl Mudra

  • Adjunct Instructor
Haroon Taqi Vice President, Digital Portfolio, Architecture, and Governance Ameren. Digital Transformation Leader and Executive Partner with demonstrated success launching digital solutions, driving internal operational efficiencies, and delivering enterprise programs.

Haroon Taqi

  • Adjunct Instructor
Angelique Zeringue Principal consultant, data science competency lead, and accomplished data scientist in insight oriented statistical modeling, clustering, NLP, predictive modeling, anomaly detection, optimization as well as other machine learning and data analytic techniques.

Angelique Zeringue

  • Adjunct Instructor